The scope of this workshop

This workshop brings together people analyzing camera trap data with artificial intelligence (AI) support. We want to discuss current open challenges and the latest algorithmic solutions to related problems. 

Besides computer scientists working on new computer vision and machine learning methods, we also address ecologists using existing AI tools to tackle open problems and answer specific questions within their application domain. Hence, we encourage especially interdisciplinary teams working at the intersection of AI and ecology to submit the results of their recent work.

Register now for in-person participation!

Important dates

We invite you to submit short papers (6 pages excl. references) related to AI-assisted wildlife monitoring. Accepted papers will be published on the workshop webpage, and the best papers are invited to submit an extended version to a special issue of the IET Computer Vision Journal. One of the keynote talks will be held by Zeiss AG.

Paper submission is open for a broad range of topics and application domains, including but not limited to:

• Camera trap datasets (images, image sequences, or videos)
• Wildlife camera traps, insect cameras, or other animal monitoring cameras (e.g., in a Zoo or other controlled environments)
• Animal detection (in images or videos)
• Identification of species, individuals, and morphological traits (in images or videos)
• Fine-grained recognition approaches for animals (in images or videos)
• Animal pose estimation (in images or videos)
• Tracking of animal movement (in images or videos)
• Video recognition of animal behavior
• Applying AI methods to camera trap data for answering ecological questions
• New ecological questions or important open problems that can’t be solved with current AI approaches
• …

We especially encourage the submission of papers containing preliminary results. The paper may contain…

• … a novel AI method that shows promising results on camera trap datasets.
• … an ecological question or an open problem inspiring the development of advanced algorithms because it can barely be addressed with existing AI methods.
• … a new dataset with a description of the specific tasks and challenges that require the development of new AI methods.

Submissions are accepted over CMT: 

Please consult our website or contact us directly for additional information.

Organizing team

Affiliations